{smcl}
{com}{sf}{ul off}{txt}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}/Users/xpmiki/Dropbox/esaiasson/replicationData/e17.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res} 9 Sep 2016, 11:33:20
{txt}
{com}. clear 
{txt}
{com}. set more off
{txt}
{com}. use "charity field voice expert.dta"
{txt}
{com}. 
. ren diskussion t
{res}{txt}
{com}. keep if beslutsform == 1
{txt}(119 observations deleted)

{com}. 
. 
. 
. set seed  358395
{txt}
{com}. sem (d <-  t  wl p)(p <-  t  wl)   , vce(cluster klassnummer)
{res}{txt}
Endogenous variables

{p 0 11 2}Observed:{space 2}{res}d p{p_end}
{txt}
Exogenous variables

{p 0 11 2}Observed:{space 2}{res}t wl{p_end}
{txt}
Fitting target model:

Iteration 0:{space 3}log pseudolikelihood = {res:-147.79994}  
Iteration 1:{space 3}log pseudolikelihood = {res:-147.79994}  

Structural equation model{col 49}Number of obs{col 67}= {res}        96
{col 1}{txt}Estimation method{col 20}= {res}ml
{col 1}{txt}Log pseudolikelihood{col 20}= {res}-147.79994

{txt}{ralign 78:(Std. Err. adjusted for {res:6} clusters in klassnummer)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}Structural  {col 14}{txt}{c |}
{space 2}{col 3}d <-      {col 14}{c |}
{space 11}p {c |}{col 14}{res}{space 2} .4898899{col 26}{space 2} .1129958{col 37}{space 1}    4.34{col 46}{space 3}0.000{col 54}{space 4} .2684221{col 67}{space 3} .7113576
{txt}{space 11}t {c |}{col 14}{res}{space 2} .0326526{col 26}{space 2} .0316586{col 37}{space 1}    1.03{col 46}{space 3}0.302{col 54}{space 4}-.0293971{col 67}{space 3} .0947023
{txt}{space 10}wl {c |}{col 14}{res}{space 2} .2835663{col 26}{space 2} .0658192{col 37}{space 1}    4.31{col 46}{space 3}0.000{col 54}{space 4} .1545631{col 67}{space 3} .4125695
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .2174591{col 26}{space 2}  .112787{col 37}{space 1}    1.93{col 46}{space 3}0.054{col 54}{space 4}-.0035994{col 67}{space 3} .4385176
{space 2}{txt}{hline 11}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}{col 3}p <-      {col 14}{c |}
{space 11}t {c |}{col 14}{res}{space 2}-.0380512{col 26}{space 2} .0612719{col 37}{space 1}   -0.62{col 46}{space 3}0.535{col 54}{space 4}-.1581419{col 67}{space 3} .0820395
{txt}{space 10}wl {c |}{col 14}{res}{space 2} .1643337{col 26}{space 2} .1187943{col 37}{space 1}    1.38{col 46}{space 3}0.167{col 54}{space 4}-.0684989{col 67}{space 3} .3971663
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .7433966{col 26}{space 2}   .09588{col 37}{space 1}    7.75{col 46}{space 3}0.000{col 54}{space 4} .5554752{col 67}{space 3} .9313181
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     var(e.d){c |}{col 14}{res}{space 2} .0630068{col 26}{space 2} .0117657{col 54}{space 4} .0436955{col 67}{space 3} .0908527
{txt}     var(e.p){c |}{col 14}{res}{space 2} .0734184{col 26}{space 2} .0152107{col 54}{space 4} .0489164{col 67}{space 3} .1101932
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estat ic

Akaike's information criterion and Bayesian information criterion

{txt}{hline 13}{c TT}{hline 63}
       Model {c |}        Obs  ll(null)  ll(model)      df         AIC        BIC
{hline 13}{c +}{hline 63}
{ralign 12:.}{col 14}{c |}{res}{col 16}        96{col 27}        .{col 38}-147.7999{col 49}     5{col 58} 305.5999{col 69} 318.4216
{txt}{hline 13}{c BT}{hline 63}
{p 15 21 2}
Note: N=Obs used in calculating BIC; see {helpb bic_note:[R] BIC note}.
{p_end}

{com}. estat teffects 
{res}

{txt}Direct effects
{res}{txt}{ralign 78:(Std. Err. adjusted for {res:6} clusters in klassnummer)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}Structural  {col 14}{txt}{c |}
{space 2}{col 3}d <-      {col 14}{c |}
{space 11}p {c |}{col 14}{res}{space 2} .4898899{col 26}{space 2} .1129958{col 37}{space 1}    4.34{col 46}{space 3}0.000{col 54}{space 4} .2684221{col 67}{space 3} .7113576
{txt}{space 11}t {c |}{col 14}{res}{space 2} .0326526{col 26}{space 2} .0316586{col 37}{space 1}    1.03{col 46}{space 3}0.302{col 54}{space 4}-.0293971{col 67}{space 3} .0947023
{txt}{space 10}wl {c |}{col 14}{res}{space 2} .2835663{col 26}{space 2} .0658192{col 37}{space 1}    4.31{col 46}{space 3}0.000{col 54}{space 4} .1545631{col 67}{space 3} .4125695
{space 2}{txt}{hline 11}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}{col 3}p <-      {col 14}{c |}
{space 11}t {c |}{col 14}{res}{space 2}-.0380512{col 26}{space 2} .0612719{col 37}{space 1}   -0.62{col 46}{space 3}0.535{col 54}{space 4}-.1581419{col 67}{space 3} .0820395
{txt}{space 10}wl {c |}{col 14}{res}{space 2} .1643337{col 26}{space 2} .1187943{col 37}{space 1}    1.38{col 46}{space 3}0.167{col 54}{space 4}-.0684989{col 67}{space 3} .3971663
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}


Indirect effects
{res}{txt}{ralign 78:(Std. Err. adjusted for {res:6} clusters in klassnummer)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}Structural  {col 14}{txt}{c |}
{space 2}{col 3}d <-      {col 14}{c |}
{space 11}p {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (no path)
{space 11}t {c |}{col 14}{res}{space 2}-.0186409{col 26}{space 2} .0286778{col 37}{space 1}   -0.65{col 46}{space 3}0.516{col 54}{space 4}-.0748483{col 67}{space 3} .0375665
{txt}{space 10}wl {c |}{col 14}{res}{space 2} .0805054{col 26}{space 2} .0702399{col 37}{space 1}    1.15{col 46}{space 3}0.252{col 54}{space 4}-.0571624{col 67}{space 3} .2181732
{space 2}{txt}{hline 11}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}{col 3}p <-      {col 14}{c |}
{space 11}t {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (no path)
{space 10}wl {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (no path)
{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}


Total effects
{res}{txt}{ralign 78:(Std. Err. adjusted for {res:6} clusters in klassnummer)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}Structural  {col 14}{txt}{c |}
{space 2}{col 3}d <-      {col 14}{c |}
{space 11}p {c |}{col 14}{res}{space 2} .4898899{col 26}{space 2} .1129958{col 37}{space 1}    4.34{col 46}{space 3}0.000{col 54}{space 4} .2684221{col 67}{space 3} .7113576
{txt}{space 11}t {c |}{col 14}{res}{space 2} .0140117{col 26}{space 2} .0572719{col 37}{space 1}    0.24{col 46}{space 3}0.807{col 54}{space 4}-.0982392{col 67}{space 3} .1262626
{txt}{space 10}wl {c |}{col 14}{res}{space 2} .3640717{col 26}{space 2} .0858025{col 37}{space 1}    4.24{col 46}{space 3}0.000{col 54}{space 4} .1959019{col 67}{space 3} .5322416
{space 2}{txt}{hline 11}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}{col 3}p <-      {col 14}{c |}
{space 11}t {c |}{col 14}{res}{space 2}-.0380512{col 26}{space 2} .0612719{col 37}{space 1}   -0.62{col 46}{space 3}0.535{col 54}{space 4}-.1581419{col 67}{space 3} .0820395
{txt}{space 10}wl {c |}{col 14}{res}{space 2} .1643337{col 26}{space 2} .1187943{col 37}{space 1}    1.38{col 46}{space 3}0.167{col 54}{space 4}-.0684989{col 67}{space 3} .3971663
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. *** indirect and direct - winning/losing
. cap program drop indireff
{txt}
{com}. program indireff, rclass
{txt}  1{com}. sem (d <-  t  wl p)(p <-  t  wl)   , vce(cluster klassnummer)
{txt}  2{com}.   estat teffects
{txt}  3{com}.   mat bi = r(indirect)
{txt}  4{com}.   mat bt = r(total)
{txt}  5{com}.   return scalar indir  = el(bi,1,3)
{txt}  6{com}.   return scalar total  = el(bt,1,3)
{txt}  7{com}. end 
{txt}
{com}. 
. set seed 358395
{txt}
{com}. bootstrap r(indir) r(total), reps(1000): indireff
{txt}(running indireff on estimation sample)

Bootstrap replications ({res}1000{txt})
{hline 4}{c +}{hline 3} 1 {hline 3}{c +}{hline 3} 2 {hline 3}{c +}{hline 3} 3 {hline 3}{c +}{hline 3} 4 {hline 3}{c +}{hline 3} 5 
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{res}
{txt}Bootstrap results{col 49}Number of obs{col 67}= {res}        96
{txt}{col 49}Replications{col 67}= {res}     1,000
{p2colset 7 17 21 2}{...}

{txt}{p2col :command:}indireff{p_end}
{p2colset 9 17 21 2}{...}
{p2col :_bs_1:}{res:r(indir)}{p_end}
{p2colset 9 17 21 2}{...}
{p2col :_bs_2:}{res:r(total)}{p_end}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}   Observed{col 26}   Bootstrap{col 54}         Norm{col 67}al-based
{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}_bs_1 {c |}{col 14}{res}{space 2} .0805054{col 26}{space 2} .0466065{col 37}{space 1}    1.73{col 46}{space 3}0.084{col 54}{space 4}-.0108417{col 67}{space 3} .1718525
{txt}{space 7}_bs_2 {c |}{col 14}{res}{space 2} .3640717{col 26}{space 2} .0807898{col 37}{space 1}    4.51{col 46}{space 3}0.000{col 54}{space 4} .2057265{col 67}{space 3} .5224169
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estat bootstrap, percentile bc  

{txt}Bootstrap results{col 49}Number of obs{col 67}= {res}        96
{txt}{col 49}Replications{col 67}= {res}      1000
{p2colset 7 17 21 2}{...}

{txt}{p2col :command:}indireff{p_end}
{p2colset 9 17 21 2}{...}
{p2col :_bs_1:}{res:r(indir)}{p_end}
{p2colset 9 17 21 2}{...}
{p2col :_bs_2:}{res:r(total)}{p_end}

{col 1}{text}{hline 13}{c TT}{hline 12}{hline 11}{hline 13}{hline 12}{hline 10}{hline 6}
{col 14}{text}{c |}    Observed{col 38}    Bootstrap
{col 14}{text}{c |}       Coef.{col 27}       Bias{col 38}    Std. Err.{col 51}  [95% Conf. Interval]
{col 1}{text}{hline 13}{c +}{hline 12}{hline 11}{hline 13}{hline 12}{hline 10}{hline 6}
{col 1}{text}       _bs_1{col 14}{c |}{result}{space 2}  .0805054{col 27}{space 2}   .00125{col 38}{space 2} .04660651{col 51}{space 2} .0078039{col 63}{space 1}  .189169{col 73}{text}   (P)
{col 14}{text}{c |}{col 51}{result}{space 2} .0143958{col 63}{space 1} .2082395{col 73}{text}  (BC)
{col 1}{text}       _bs_2{col 14}{c |}{result}{space 2} .36407171{col 27}{space 2}-.0035318{col 38}{space 2} .08078984{col 51}{space 2} .1970146{col 63}{space 1} .5230472{col 73}{text}   (P)
{col 14}{text}{c |}{col 51}{result}{space 2} .2018313{col 63}{space 1} .5333089{col 73}{text}  (BC)
{col 1}{text}{hline 13}{c BT}{hline 12}{hline 11}{hline 13}{hline 12}{hline 10}{hline 6}
{col 0}(P){col 8}percentile confidence interval
{col 0}(BC){col 8}bias-corrected confidence interval

{com}. 
. *** indirect and direct - treatment
. cap program drop indireff
{txt}
{com}. program indireff, rclass
{txt}  1{com}. sem (d <- wl  t  p)(p <- wl  t )    , vce(cluster klassnummer)
{txt}  2{com}.   estat teffects
{txt}  3{com}.   mat bi = r(indirect)
{txt}  4{com}.   mat bt = r(total)
{txt}  5{com}.   return scalar indirect  = el(bi,1,3)
{txt}  6{com}.   return scalar total  = el(bt,1,3)
{txt}  7{com}. end
{txt}
{com}. 
. set seed 358395
{txt}
{com}. bootstrap r(indirect) r(total), reps(1000): indireff
{txt}(running indireff on estimation sample)

Bootstrap replications ({res}1000{txt})
{hline 4}{c +}{hline 3} 1 {hline 3}{c +}{hline 3} 2 {hline 3}{c +}{hline 3} 3 {hline 3}{c +}{hline 3} 4 {hline 3}{c +}{hline 3} 5 
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{res}
{txt}Bootstrap results{col 49}Number of obs{col 67}= {res}        96
{txt}{col 49}Replications{col 67}= {res}     1,000
{p2colset 7 17 21 2}{...}

{txt}{p2col :command:}indireff{p_end}
{p2colset 9 17 21 2}{...}
{p2col :_bs_1:}{res:r(indirect)}{p_end}
{p2colset 9 17 21 2}{...}
{p2col :_bs_2:}{res:r(total)}{p_end}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}   Observed{col 26}   Bootstrap{col 54}         Norm{col 67}al-based
{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}_bs_1 {c |}{col 14}{res}{space 2}-.0186409{col 26}{space 2} .0301985{col 37}{space 1}   -0.62{col 46}{space 3}0.537{col 54}{space 4}-.0778289{col 67}{space 3} .0405472
{txt}{space 7}_bs_2 {c |}{col 14}{res}{space 2} .0140117{col 26}{space 2}  .058508{col 37}{space 1}    0.24{col 46}{space 3}0.811{col 54}{space 4}-.1006619{col 67}{space 3} .1286853
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estat bootstrap, percentile bc  

{txt}Bootstrap results{col 49}Number of obs{col 67}= {res}        96
{txt}{col 49}Replications{col 67}= {res}      1000
{p2colset 7 17 21 2}{...}

{txt}{p2col :command:}indireff{p_end}
{p2colset 9 17 21 2}{...}
{p2col :_bs_1:}{res:r(indirect)}{p_end}
{p2colset 9 17 21 2}{...}
{p2col :_bs_2:}{res:r(total)}{p_end}

{col 1}{text}{hline 13}{c TT}{hline 12}{hline 11}{hline 13}{hline 12}{hline 10}{hline 6}
{col 14}{text}{c |}    Observed{col 38}    Bootstrap
{col 14}{text}{c |}       Coef.{col 27}       Bias{col 38}    Std. Err.{col 51}  [95% Conf. Interval]
{col 1}{text}{hline 13}{c +}{hline 12}{hline 11}{hline 13}{hline 12}{hline 10}{hline 6}
{col 1}{text}       _bs_1{col 14}{c |}{result}{space 2}-.01864089{col 27}{space 2}-.0008428{col 38}{space 2} .03019854{col 51}{space 2}-.0862385{col 63}{space 1} .0325311{col 73}{text}   (P)
{col 14}{text}{c |}{col 51}{result}{space 2}-.0895953{col 63}{space 1} .0305698{col 73}{text}  (BC)
{col 1}{text}       _bs_2{col 14}{c |}{result}{space 2} .01401168{col 27}{space 2} .0016256{col 38}{space 2} .05850802{col 51}{space 2}-.0974272{col 63}{space 1} .1351465{col 73}{text}   (P)
{col 14}{text}{c |}{col 51}{result}{space 2}-.1012248{col 63}{space 1} .1304703{col 73}{text}  (BC)
{col 1}{text}{hline 13}{c BT}{hline 12}{hline 11}{hline 13}{hline 12}{hline 10}{hline 6}
{col 0}(P){col 8}percentile confidence interval
{col 0}(BC){col 8}bias-corrected confidence interval

{com}. 
. *** randomization check
. reg  t  gender interest ideology , robust

{txt}Linear regression                               Number of obs     = {res}        95
                                                {txt}F(3, 91)          =  {res}     0.74
                                                {txt}Prob > F          = {res}    0.5287
                                                {txt}R-squared         = {res}    0.0242
                                                {txt}Root MSE          =    {res} .50126

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}           t{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}gender {c |}{col 14}{res}{space 2} .0012887{col 26}{space 2} .1126719{col 37}{space 1}    0.01{col 46}{space 3}0.991{col 54}{space 4}-.2225201{col 67}{space 3} .2250976
{txt}{space 4}interest {c |}{col 14}{res}{space 2} .1916411{col 26}{space 2} .1608893{col 37}{space 1}    1.19{col 46}{space 3}0.237{col 54}{space 4}-.1279457{col 67}{space 3}  .511228
{txt}{space 4}ideology {c |}{col 14}{res}{space 2} .1185689{col 26}{space 2} .1547463{col 37}{space 1}    0.77{col 46}{space 3}0.446{col 54}{space 4}-.1888156{col 67}{space 3} .4259533
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .3704553{col 26}{space 2} .1614239{col 37}{space 1}    2.29{col 46}{space 3}0.024{col 54}{space 4} .0498065{col 67}{space 3}  .691104
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. log close
      {txt}name:  {res}<unnamed>
       {txt}log:  {res}/Users/xpmiki/Dropbox/esaiasson/replicationData/e17.smcl
  {txt}log type:  {res}smcl
 {txt}closed on:  {res} 9 Sep 2016, 11:35:19
{txt}{.-}
{smcl}
{txt}{sf}{ul off}